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However, you do need to tell CDAP the relative paths of the input and output files. Currently, this is only possible by specifying them as runtime arguments when the MapReduce program is started:

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$ curl -w"\n" -X POST "http://example.com:11015/v3/namespaces/default/apps/FileSetExample/mapreduce/WordCount/start" \
-d '{ "dataset.lines.input.paths": "monday/my.txt", "dataset.counts.output.path": "monday/counts.out" }'

> curl -X POST "http://example.com:11015/v3/namespaces/default/apps/FileSetExample/mapreduce/WordCount/start" ^
-d "{ \"dataset.lines.input.paths\": \"monday/my.txt\", \"dataset.counts.output.path\": \"monday/counts.out\" }"

Using the CDAP CLI:

cdap > start mapreduce FileSetExample.WordCount "dataset.lines.input.paths=monday/my.txt dataset.counts.output.path=monday/counts.out"

Note that for the input you can specify multiple paths separated by commas:

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